基于支持向量回归的供应链合作伙伴核心竞争力评价  

A Research of the core Competence of Partner Enterprise in Supply Chain Management Based on Support Vector Regression

作　　者：经玲[1] 孙立[1] 

机构地区：[1]中国农业大学理学院,北京100083

出　　处：《微电子学与计算机》2005年第8期124-126,共3页Microelectronics & Computer

基　　金：国家自然科学基金资助项目(10371131)

摘　　要：供应链管理是一种先进、新颖的管理方法,在供应链中,科学的评价合作伙伴核心竞争力是优化选择最佳合作伙伴的关键。本文将基于支持向量回归的数据挖掘方法,用于核心竞争力综合评价研究中,给出应用实例,结果表明支持向量回归不仅具有较高的训练效率,而且有更高的精确度。Supply chain management is a kind of advanced and novel management, it is vital to have a correct remark on the core competence of partner enterprise so as to select best cooperative partners in supply chain. This paper describes a new data mining method based on SVE（support vector regression） and gives an application. The result indicates that SVR not only improves training efficiency, but also possesses higher accuracy.

关 键 词：供应链 核心竞争力 统计学习理论 支持向量回归 

分 类 号：TP319[自动化与计算机技术—计算机软件与理论]